Basic Information

Transcription Factor Domain

TF Family: HMGA
Domain: HMGA domain
PFAM: AnimalTFDB
TF Group: Unclassified Structure
Description: This entry represents the HMGA family, whose members contain DNA-binding domains, also known as AT hooks due to their ability to interact with the narrow minor groove of AT-rich DNA sequences. They play an important role in chromatin organisation [1]. The high mobility group (HMG) proteins are the most abundant and ubiquitous nonhistone chromosomal proteins. They bind to DNA and to nucleosomes and are involved in the regulation of DNA-dependent processes such as transcription, replication, recombination, and DNA repair. They can be grouped into three families: HMGB (HMG 1/2), HMGN (HMG 14/17) and HMGA (HMG I/Y). The characteristic domains are: AT-hook for the HMGA family, the HMG Box for the HMGB family, and the nucleosome-binding domain (NBD) for the members of the HMGN family [2].
Hmmscan Out: # of c-Evalue i-Evalue score bias hmm coord from hmm coord to ali coord from ali coord to env coord from env coord to acc

1 4 0.0064 94 2.5 3.2 11 16 13 18 11 19 0.82

2 4 0.094 1.4e+03 -1.2 2.1 12 15 32 35 31 36 0.93

3 4 3.1e-10 4.5e-06 25.9 3.7 4 22 53 71 51 71 0.89

4 4 1 1.5e+04 -5.7 4.3 10 14 82 86 81 86 0.63

#	of	c-Evalue	i-Evalue	score	bias	hmm coord from	hmm coord to	ali coord from	ali coord to	env coord from	env coord to	acc
1	4	0.0064	94	2.5	3.2	11	16	13	18	11	19	0.82
2	4	0.094	1.4e+03	-1.2	2.1	12	15	32	35	31	36	0.93
3	4	3.1e-10	4.5e-06	25.9	3.7	4	22	53	71	51	71	0.89
4	4	1	1.5e+04	-5.7	4.3	10	14	82	86	81	86	0.63

Coding Sequence: ATGTCTGATGATGGATCAACAACGGTGGAGAAGAAGGGTCGTGGTAGACCAAAAGCAAATGGGACACAATCGGAAACCAAAGAAGTGAAGAAGCGAGGAAGGCCTCCAGTAGCAGCTACTAAAACAAAAGAATCAGCAAAGTCATCTGATGATGAACAGGCGCCGGTAGCTAAAAGAGGCAGAGGCAGACCTAAAGGTTCTAAGAAAAAGTCTGCAAAGGGCAAGAGTGCACCAGTTGAAGGAAGAGGACGTGGTCGGCAGCGCAAGGATGCAGCACCACCGAAGAAAGATGCAGCTTCTACTGAAGAGGAGGTGGATGATGAAGACGAGGAAGAGGGTTCAGAAGACCAATAA
Protein Sequence: MSDDGSTTVEKKGRGRPKANGTQSETKEVKKRGRPPVAATKTKESAKSSDDEQAPVAKRGRGRPKGSKKKSAKGKSAPVEGRGRGRQRKDAAPPKKDAASTEEEVDDEDEEEGSEDQ

Sequence clustering based on sequence similarity using MMseqs2